Evidence map›Paper›PMID 36121469›Full record

ArticleNeuroradiology2022

Quantitative parameters derived from

Zhaoting Meng, Lingyu Zhang, Caiyun Huang, Yingshi Piao, Xiaohong Chen, Junfang Xian

Abstract read
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Zhaoting Meng *Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No. 1, DongJiaoMinXiang Street, Dongcheng District, Beijing, 100730, China.
Lingyu Zhang *Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No. 1, DongJiaoMinXiang Street, Dongcheng District, Beijing, 100730, China.
Caiyun HuangDepartment of Radiology, Guangxi Medical University Cancer Hospital, Nanning, 530022, China.
Yingshi PiaoDepartment of Pathology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Xiaohong ChenDepartment of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Junfang XianDepartment of Radiology, Beijing Tongren Hospital, Capital Medical University, No. 1, DongJiaoMinXiang Street, Dongcheng District, Beijing, 100730, China. cjr.xianjunfang@vip.163.com.ORCID http://orcid.org/0000-0003-2191-9393
Beijing Tongren Hospital · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAmong head and neck cancers, hypopharyngeal squamous cell carcinoma (HSCC) shows the highest malignancy, which is associated with histologic grading. This study was designed to investigate whether quantitative parameters derived from

methods

resultsThere were statistically significant differences in mean value of standard uptake value (SUV), apparent diffusion coefficient (ADC), and K

conclusionThe combination of SUV

Indexed as

Fluorodeoxyglucose F18Head and Neck NeoplasmsDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingPositron-Emission TomographyRadiopharmaceuticalsSquamous Cell Carcinoma of Head and NeckFluorodeoxyglucose F18RadiopharmaceuticalsHistologic gradeHypopharyngeal squamous cell cancerMagnetic resonance imagingMultimodal imagingPositron emission tomography

Identifiers

PMID36121469
OpenAlexW4296327601

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.